Herbal Remedies: Effects on Clinical Laboratory Tests

2006 ◽  
Vol 130 (4) ◽  
pp. 521-528 ◽  
Author(s):  
Amitava Dasgupta ◽  
David W. Bernard

AbstractContext.—Complementary and alternative medicine (herbal medicines) can affect laboratory test results by several mechanisms.Objective.—In this review, published reports on effects of herbal remedies on abnormal laboratory test results are summarized and commented on.Data Sources.—All published reports between 1980 and 2005 with the key words herbal remedies or alternative medicine and clinical laboratory test, clinical chemistry test, or drug-herb interaction were searched through Medline. The authors' own publications were also included. Important results were then synthesized.Data Synthesis.—Falsely elevated or falsely lowered digoxin levels may be encountered in a patient taking digoxin and the Chinese medicine Chan Su or Dan Shen, owing to direct interference of a component of Chinese medicine with the antibody used in an immunoassay. St John's wort, a popular herbal antidepressant, increases clearance of many drugs, and abnormally low cyclosporine, digoxin, theophylline, or protease inhibitor concentrations may be observed in a patient taking any of these drugs in combination with St John's wort. Abnormal laboratory results may also be encountered owing to altered pathophysiology. Kava-kava, chaparral, and germander cause liver toxicity, and elevated alanine aminotransferase, aspartate aminotransferase, and bilirubin concentrations may be observed in a healthy individual taking such herbal products. An herbal product may be contaminated with a Western drug, and an unexpected drug level (such as phenytoin in a patient who never took phenytoin but took a Chinese herb) may confuse the laboratory staff and the clinician.Conclusions.—Use of alternative medicines may significantly alter laboratory results, and communication among pathologists, clinical laboratory scientists, and physicians providing care to the patient is important in interpreting these results.

Author(s):  
Petr Jarolim

AbstractWe discuss the sensitivity terminology of cardiac troponin assays and its dependence on the selection of the reference population. In addition, the need for reasonable censoring of clinical laboratory test results is contrasted with potential loss of valuable clinical information.


2020 ◽  
Author(s):  
Zhan Zhang ◽  
Lukas Kmoth ◽  
Xiao Luo ◽  
Zhe He

BACKGROUND Personal clinical data such as laboratory test results are increasingly being made available to patients via patient portals. However, laboratory test results are presented via portals in a way that is hard for patients to interpret and use. Furthermore, the indications of test results may vary among patients with different characteristics and medical contexts. To date, little is known about how to design patient-centered technology to facilitate the interpretation of test results. OBJECTIVE The aim of this study is to explore design considerations for an interactive system to support patient-centered communication and comprehension of laboratory test results as well as discussions between patient and health providers. METHODS We conducted a user-centered, multi-component design exploration study, consisting of user studies, iterative prototype design, and user evaluation, to explore design concepts and considerations that are useful for supporting patients not only viewing but also interpreting and acting upon laboratory test results. RESULTS The user study results informed the iterative design of a system prototype, including several interactive features: 1) using graphical representations and clear takeaway messages to convey the concerning nature of the result, 2) enabling users to annotate laboratory test reports, 3) clarifying medical jargon using non-technical verbiage and allowing users to interact with the medical terms (e.g., save, favorite, sort, etc.), and 4) providing pertinent and reliable information to help patients comprehend test results within their medical context. Through an initial user evaluation with 8 patients, results show that the new patient-facing system was perceived useful in not only presenting laboratory results to patients in a meaningful way but also facilitating in situ patient-provider interaction. CONCLUSIONS We draw on our findings to discuss design implications for supporting patient-centered communication of laboratory test results, and how to make the technology support informative, trustworthy, and empathetic.


2017 ◽  
Vol 25 (2) ◽  
pp. 192-196 ◽  
Author(s):  
Ronald G Hauser ◽  
Douglas B Quine ◽  
Alex Ryder ◽  
Sheldon Campbell

Abstract Logical Observation Identifiers Names and Codes (LOINC) is the most widely used controlled vocabulary to identify laboratory tests. A given laboratory test can often be reported in more than 1 unit of measure (eg, grams or moles), and LOINC defines unique codes for each unit. Consequently, an identical laboratory test performed by 2 different clinical laboratories may have different LOINC codes. The absence of unit conversions between compatible LOINC codes impedes data aggregation and analysis of laboratory results. To develop such conversions, a computational process was developed to review the LOINC standard for potential conversions, and multiple expert reviewers oversaw and finalized the conversion list. In all, 285 bidirectional conversions were identified, including conversions for routine clinical tests such as sodium, magnesium, and human immunodeficiency virus (HIV). Unit conversions were applied to the aggregation of laboratory test results to demonstrate their usefulness. Diverse informatics projects may benefit from the ability to interconvert compatible results.


2015 ◽  
Vol 22 (4) ◽  
pp. 900-904 ◽  
Author(s):  
Dean F Sittig ◽  
Daniel R Murphy ◽  
Michael W Smith ◽  
Elise Russo ◽  
Adam Wright ◽  
...  

Abstract Accurate display and interpretation of clinical laboratory test results is essential for safe and effective diagnosis and treatment. In an attempt to ascertain how well current electronic health records (EHRs) facilitated these processes, we evaluated the graphical displays of laboratory test results in eight EHRs using objective criteria for optimal graphs based on literature and expert opinion. None of the EHRs met all 11 criteria; the magnitude of deficiency ranged from one EHR meeting 10 of 11 criteria to three EHRs meeting only 5 of 11 criteria. One criterion (i.e., the EHR has a graph with y-axis labels that display both the name of the measured variable and the units of measure) was absent from all EHRs. One EHR system graphed results in reverse chronological order. One EHR system plotted data collected at unequally-spaced points in time using equally-spaced data points, which had the effect of erroneously depicting the visual slope perception between data points. This deficiency could have a significant, negative impact on patient safety. Only two EHR systems allowed users to see, hover-over, or click on a data point to see the precise values of the x–y coordinates. Our study suggests that many current EHR-generated graphs do not meet evidence-based criteria aimed at improving laboratory data comprehension.


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